Spark job failed to write to Alluxio due to DeadlineExceededException
I am running a Spark job writing to an Alluxio cluster with 20 workers (Alluxio 1.6.1). Spark job failed to write its output due to alluxio.exception.status.DeadlineExceededException
. The worker is still alive from Alluxio WebUI. How can I avoid this failure?
alluxio.exception.status.DeadlineExceededException: Timeout writing to WorkerNetAddresshost=spark-74-44.xxxx, rpcPort=51998, dataPort=51999, webPort=51997, domainSocketPath= for request type: ALLUXIO_BLOCK
id: 3209355843338240
tier: 0
worker_group
host: "spark6-64-156.xxxx"
rpc_port: 51998
data_port: 51999
web_port: 51997
socket_path: ""
apache-spark alluxio
add a comment |
I am running a Spark job writing to an Alluxio cluster with 20 workers (Alluxio 1.6.1). Spark job failed to write its output due to alluxio.exception.status.DeadlineExceededException
. The worker is still alive from Alluxio WebUI. How can I avoid this failure?
alluxio.exception.status.DeadlineExceededException: Timeout writing to WorkerNetAddresshost=spark-74-44.xxxx, rpcPort=51998, dataPort=51999, webPort=51997, domainSocketPath= for request type: ALLUXIO_BLOCK
id: 3209355843338240
tier: 0
worker_group
host: "spark6-64-156.xxxx"
rpc_port: 51998
data_port: 51999
web_port: 51997
socket_path: ""
apache-spark alluxio
add a comment |
I am running a Spark job writing to an Alluxio cluster with 20 workers (Alluxio 1.6.1). Spark job failed to write its output due to alluxio.exception.status.DeadlineExceededException
. The worker is still alive from Alluxio WebUI. How can I avoid this failure?
alluxio.exception.status.DeadlineExceededException: Timeout writing to WorkerNetAddresshost=spark-74-44.xxxx, rpcPort=51998, dataPort=51999, webPort=51997, domainSocketPath= for request type: ALLUXIO_BLOCK
id: 3209355843338240
tier: 0
worker_group
host: "spark6-64-156.xxxx"
rpc_port: 51998
data_port: 51999
web_port: 51997
socket_path: ""
apache-spark alluxio
I am running a Spark job writing to an Alluxio cluster with 20 workers (Alluxio 1.6.1). Spark job failed to write its output due to alluxio.exception.status.DeadlineExceededException
. The worker is still alive from Alluxio WebUI. How can I avoid this failure?
alluxio.exception.status.DeadlineExceededException: Timeout writing to WorkerNetAddresshost=spark-74-44.xxxx, rpcPort=51998, dataPort=51999, webPort=51997, domainSocketPath= for request type: ALLUXIO_BLOCK
id: 3209355843338240
tier: 0
worker_group
host: "spark6-64-156.xxxx"
rpc_port: 51998
data_port: 51999
web_port: 51997
socket_path: ""
apache-spark alluxio
apache-spark alluxio
asked Nov 15 '18 at 18:20
apc999apc999
1115
1115
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
This error indicates that your Spark job timed out while trying to write data to an Alluxio worker. The worker could be under high load, or have a slow connection to your UFS.
The default timeout is 30 seconds. To increase the timeout, configure alluxio.user.network.netty.timeout
on the Spark side.
For example, to increase the timeout to 5 minutes, use the --conf
option to spark-submit
$ spark-submit --conf 'spark.executor.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
--conf 'spark.driver.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
...
You can also set these properties in your spark-defaults.conf
file to have them automatically applied to all jobs.
Source: https://www.alluxio.org/docs/1.6/en/Configuration-Settings.html#spark-jobs
add a comment |
Your Answer
StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53325658%2fspark-job-failed-to-write-to-alluxio-due-to-deadlineexceededexception%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
This error indicates that your Spark job timed out while trying to write data to an Alluxio worker. The worker could be under high load, or have a slow connection to your UFS.
The default timeout is 30 seconds. To increase the timeout, configure alluxio.user.network.netty.timeout
on the Spark side.
For example, to increase the timeout to 5 minutes, use the --conf
option to spark-submit
$ spark-submit --conf 'spark.executor.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
--conf 'spark.driver.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
...
You can also set these properties in your spark-defaults.conf
file to have them automatically applied to all jobs.
Source: https://www.alluxio.org/docs/1.6/en/Configuration-Settings.html#spark-jobs
add a comment |
This error indicates that your Spark job timed out while trying to write data to an Alluxio worker. The worker could be under high load, or have a slow connection to your UFS.
The default timeout is 30 seconds. To increase the timeout, configure alluxio.user.network.netty.timeout
on the Spark side.
For example, to increase the timeout to 5 minutes, use the --conf
option to spark-submit
$ spark-submit --conf 'spark.executor.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
--conf 'spark.driver.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
...
You can also set these properties in your spark-defaults.conf
file to have them automatically applied to all jobs.
Source: https://www.alluxio.org/docs/1.6/en/Configuration-Settings.html#spark-jobs
add a comment |
This error indicates that your Spark job timed out while trying to write data to an Alluxio worker. The worker could be under high load, or have a slow connection to your UFS.
The default timeout is 30 seconds. To increase the timeout, configure alluxio.user.network.netty.timeout
on the Spark side.
For example, to increase the timeout to 5 minutes, use the --conf
option to spark-submit
$ spark-submit --conf 'spark.executor.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
--conf 'spark.driver.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
...
You can also set these properties in your spark-defaults.conf
file to have them automatically applied to all jobs.
Source: https://www.alluxio.org/docs/1.6/en/Configuration-Settings.html#spark-jobs
This error indicates that your Spark job timed out while trying to write data to an Alluxio worker. The worker could be under high load, or have a slow connection to your UFS.
The default timeout is 30 seconds. To increase the timeout, configure alluxio.user.network.netty.timeout
on the Spark side.
For example, to increase the timeout to 5 minutes, use the --conf
option to spark-submit
$ spark-submit --conf 'spark.executor.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
--conf 'spark.driver.extraJavaOptions=-Dalluxio.user.network.netty.timeout=5min'
...
You can also set these properties in your spark-defaults.conf
file to have them automatically applied to all jobs.
Source: https://www.alluxio.org/docs/1.6/en/Configuration-Settings.html#spark-jobs
answered Nov 15 '18 at 19:06
AAudibertAAudibert
161213
161213
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53325658%2fspark-job-failed-to-write-to-alluxio-due-to-deadlineexceededexception%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown